Torch-MLIR bridges the PyTorch ML ecosystem to the MLIR compiler infrastructure, enabling hardware vendors to lower PyTorch models into MLIR and subsequently to their target backends. It provides multiple lowering paths from PyTorch through ONNX and FX entry points, similar to how LLVM supports multiple hardware targets through a common intermediate representation.